Reliable and accurate wind speed forecasting (WSF) is fundamental for efficient exploitation
of wind power. In particular, high accuracy short-term WSF (ST-WSF) has a significant …

Objective We aim to develop a hybrid model for earlier and more accurate predictions for the
number of infected cases in pandemics by (1) using patients' claims data from different …

Urban flood control is a crucial task, which commonly faces fast rising peak flows resulting
from urbanization. To mitigate future flood damages, it is imperative to construct an on-line …

Abstract A new Wind Speed Forecasting (WSF) model, suitable for a short term 1–24 h
forecast horizon, is developed by adapting Hammerstein model to an Autoregressive …

Featured Application Authors are encouraged to provide a concise description of the specific
application or a potential application of the work. This section is not mandatory. Abstract …

Considering true values cannot be available at every time step in an online learning
algorithm for multi-step-ahead (MSA) forecasts, a MSA reinforced real-time recurrent …

The global impacts of climate change have become increasingly pronounced in recent years
due to the rise in greenhouse gas emissions from fossil fuels. This trend threatens water …

In this paper, the flexible neural tree (FNT) model is employed to predict the small-time scale
traffic measurements data. Based on the pre-defined instruction/operator sets, the FNT …

The growing population has tremendously increased the daily energy demand all around
the world. India is the second-most crowded nation in the world with approximately 1.4 …

An alternative investment theory to the widely utilized efficient market hypothesis, fractal
market hypothesis analyses the daily randomness of the market and the turbulence …